1. Maryam Miradi, Andre A. A. Molenaar, Martin F. C. van de Ven (2009). Knowledge Discovery and Data Mining Using Artificial Intelligence to Unravel Porous Asphalt Concrete in the Netherlands. Intelligent and Soft Computing in Infrastructure Systems Engineering 2009. Pp. 107-176. 

2. Miradi, M. (2009). Knowledge Discovery and Pavement Performance – Intelligent Data Mining, Pp. 308, ISBN 978-90-8570-278-8, Wohrmann Print Service, Zutphen, The Netherlands. 

3. Miradi, M, Molenaar, AAA & Ven, MFC van de(2009). Back calculation procedure for the stiffness modulus of cement treated base layers using computational intelligence based models. In s.n. (Ed.), TRB 88th Annual Meeting, Compendium of Papers DVD (pp. 1-13). St. Louis, USA: MIRA Digital Publishing. 

4. Miradi, M, Molenaar, AAA, Ven, MFC van de & Molenaar, S. (2009). Backcalculation of the stiffnesses of cement treated base courses using artificial intelligence. In E Tutumluer & IL Al-Qadi (Eds.), Bearing Capacity of Roads, Railways and Airfields (pp. 633-642). Leiden, The Netherlands: CRC Press/Balkema. 

5. Miradi, M, Molenaar, AAA & Ven, MFC van de (2009). Performance modelling of porous asphalt concrete using artificial intelligence. Road materials and pavement design, 10, 263-280.
 

6. Miradi, M, & Molenaar, AAA (2008). Comprehensible artificial intelligence-based models for raveling of porous asphalt. In s.n (Ed.), Samenvattingenbundel, Bijdragen CROW Infradagen 2008 (pp. 1-11). Ede: CROW.  

7. Miradi, M (2007). Extraction of rules from artificial neural network for Dutch porous asphalt Concrete pavement, In 2007 IEEE International Joint Conference in Neural Networks (pp. 4450-4456). Orlando, USA:IEEE.
 

8. Miradi, M & Molenaar, AAA (2007). Neural network models for porous asphalt (PA) lifespan. In TRB 2007 Annual Meeting (pp. 1-15). Washington, D.C.: Transportation Research Board.
 

9. Miradi, M & Molenaar, AAA (2006). Application of artificial neural network (ANN) to PA lifespan: forecasting models. In 2006 IEEE World Congress on Computational Intelligence (pp. 7070-7076). Vancouver, Canada: Omnipress. 

10. Miradi, M (2006). Artificial neural network (ANN) for porous asphalt maintenance. In T Vogel, N Mojsilovic, & P Marti (Eds.), Proceedings 6th International PhD Symposium in Civil Engineering (pp. 1-8). Zurich: Institute of Structural Engineering (IBK).  

11. Miradi, M & Molenaar, AAA (2006). Artificial neural network (ANN) models for PA lifespan. In Wegbouwkundige Werkdagen 2006 (pp. 1-12). Ede: CROW. 

12. Molenaar, A.A.A. , Meerkerk, A.J.J. , Miradi, M. & Steen, T. van der (2006). Performance of porous asphalt concrete. Journal of the association of asphalt paving technologists, 75, 1053-1094. 

13. Miradi, M , & Molenaar, AAA (2005). Development of artificial neural network (ANN) models for maintenance planning of porous asphalt wearing courses. 7-05-137-2. Delft: Delft University of Technology. 

14. Miradi, M (2005). ANN models for Dutch highway network. In HR Arabnia & R Joshua (Eds.), Proceedings of the 2005 International Conference on Artificial Intelligence (pp. 208-214). Las Vegas, USA: CSREA Press. 

15. Miradi, M (2005). Prediction of raveling on Dutch motorways using ANN. In MP Clements, F Collopy, JG de Gooijer, & BK Ray (Eds.), The International Journal of Forecasting (pp. 69-69). San Antonio, Texas, USA: ISF. 

16. Miradi, M (2004). Artificial neural network (ANN) models for prediction and analysis of ravelling severity and material composition properties. In M. Mohammadian (Ed.), CIMCA 2004 (pp. 892-903), Gold Coast, Australia. 

17. Miradi, M (2004). Neural network models for analysis and prediction of raveling. In 2004 IEEE Conference on Cybernetics and Intelligent Systems (pp. 1226-1231). Singapore: IEEE. 

18. Miradi, M (2004). Development of artificial neural network (ANN) models for raveling. In BHV Topping & CA Mota Soares (Eds.), Proceedings of The 4th Int.Conf. on Engineering Computational Technology (pp. 1-15). Stirling, Scotland: Civil-Comp Press. 

19. Miradi, M (2004). Development of intelligent models for ravelling using neural network. In W Thissen, P Wieringa, M Pantic, & M Ludema (Eds.), 2004 IEEE International Conference on Systems, Man & Cybernetics (pp. 3599-3606). Den Haag: Omnipress. 

20. Miradi, M (2004). Prediction and analysis of raveling porous asphalt top layers using artificial neural network (ANN). In HR Arabnia (Ed.), The 2004 Int. MultiConference in Computer Science & Computer Engineering (pp. 1-8). s.l.: CSREA Press.
 

21. Miradi, M (2004). Predictions of raveling and analysis of climate influences using neural networks. In Joost Walraven, Tom Scarpas & Johan Blaauwendraad, B.Snijder (Eds.), Proceedings of the 5th Int.PhD Symp. in Civil Engineering (pp. 103-110). Leiden: A.A. Balkema Publishers. 

22. Miradi, M (2004). Application of artificial neural network in prediction of raveling severity. In LS Smits, A Hussain, & I Aleksander (Eds.), Brain Inspired Cognitive Systems 2004 (pp. 1-7). Stirling: University of Stirling, Dept. Computing Science and Math. 

23. Miradi, M (2004). Neural network models predict raveling and analyse material/construction properties. In MH Hamza (Ed.), Proceedings of the 6th IASTED International Conference (pp. 346-351). Honolulu, Hawaii, USA: ACTA Press. 

24. Miradi, M (2004). Project ITC/ANN. In Dutch, Delft: Delft University of Technology.